AI for Kids Worksheet: Part 1 Test
AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.
NameDateTime takenScore ___ / 40
- 1.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) use one group only (d) test on many groups
- 2.Which of these uses AI? (a) a stopwatch (b) a doorbell (c) a spam filter (d) a fan regulator
- 3.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
- 4.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) check it on paper (b) never do maths (c) ask it to hurry (d) copy it straight away
- 5.🎨 An image generator makes a picture from… (a) a phone number (b) your password (c) the weather (d) a text description
- 6.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
- 7.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) no, it finds patterns (c) yes, just like us (d) only on weekends
- 8.Which of these describes how a normal program works? (a) spots patterns in data (b) improves with more data (c) gives a likely answer (d) never learns from data
- 9.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) True (b) False
- 10.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
- 11.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
- 12.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
- 13.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
- 14.🛠️ Which does this job need: turning spoken words into typed text? (a) needs AI (learning) (b) a simple rule is enough
- 15.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) no (c) yes
- 16.True or false: an image generator drawing a robot from a sentence is AI recognising something. (a) False (b) True
- 17.📱 What is the AI doing here: a keyboard guessing your next word? (a) recognising (b) recommending (c) generating (d) predicting
- 18.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
- 19.🤖 What does AI stand for? (a) actual information (b) app installer (c) artificial intelligence (d) automatic internet
- 20.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
- 21.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it may get it wrong (d) it will be perfect
- 22.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) check who is missing (d) fix wrong labels
- 23.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) sleeping (c) drawing (d) predicting
- 24.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
- 25.🔍 Which is the odd one out? (a) examples of every type (b) correct labels (c) wrong labels (d) checking labels twice
- 26.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
- 27.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI is never wrong (c) AI can make up facts (d) AI answers need checking
- 28.Which of these is a fact about AI? (a) AI is never wrong (b) long answers are true (c) AI can be wrong (d) AI always checks facts
- 29.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) copy old unfair choices (d) balance the data
- 30.True or false: “new data for testing” is bad for training a model. (a) False (b) True
- 31.🔍 Which is the odd one out? (a) drafting a letter (b) sorting photos by face (c) inventing a recipe (d) drawing a new picture
- 32.Which of these is the model? (a) labelled fruit photos (b) tomorrow’s rain guess (c) old emails marked spam (d) the trained program
- 33.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) text (b) an image (c) music or sound
- 34.🔍 Which is the odd one out? (a) reading number plates (b) creating a cartoon (c) making up a story (d) writing quiz questions
- 35.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
- 36.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) False (b) True
- 37.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
- 38.Which of these is generative AI (it makes something new)? (a) spotting spam (b) predicting rain (c) unlocking with a face (d) drawing a new picture
- 39.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) predicting (b) recognising (c) generating (d) recommending
- 40.Which of these helps reduce bias? (a) test on one group only (b) add varied examples (c) copy old unfair choices (d) skip testing
Answer key
- use one group only
- a spam filter
- True
- check it on paper
- a text description
- to see if it works
- no, it finds patterns
- never learns from data
- False
- training data
- balanced data
- one-sided data
- makes something new
- needs AI (learning)
- no
- False
- predicting
- adds to bias
- artificial intelligence
- a myth
- it may get it wrong
- ignore complaints
- predicting
- reduces bias
- wrong labels
- more varied data
- AI is never wrong
- AI can be wrong
- balance the data
- False
- sorting photos by face
- the trained program
- an image
- reading number plates
- recorded spoken words
- False
- AI
- drawing a new picture
- recommending
- add varied examples
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students